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» Error bounds for mixed integer linear optimization problems
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PKDD
2009
Springer
138views Data Mining» more  PKDD 2009»
15 years 4 months ago
Margin and Radius Based Multiple Kernel Learning
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
Huyen Do, Alexandros Kalousis, Adam Woznica, Melan...
IOR
2007
89views more  IOR 2007»
14 years 9 months ago
Fast, Fair, and Efficient Flows in Networks
Abstract. We study the problem of minimizing the maximum latency of flows in networks with congestion. We show that this problem is NP-hard, even when all arc latency functions ar...
José R. Correa, Andreas S. Schulz, Nicol&aa...
CDC
2009
IEEE
211views Control Systems» more  CDC 2009»
15 years 2 months ago
An event-triggered distributed primal-dual algorithm for Network Utility maximization
Abstract— Many problems associated with networked systems can be formulated as network utility maximization (NUM) problems. NUM problems maximize a global separable measure of ne...
Pu Wan, Michael D. Lemmon
AUTOMATICA
2008
139views more  AUTOMATICA 2008»
14 years 9 months ago
Structured low-rank approximation and its applications
Fitting data by a bounded complexity linear model is equivalent to low-rank approximation of a matrix constructed from the data. The data matrix being Hankel structured is equival...
Ivan Markovsky
NIPS
2008
14 years 11 months ago
Multi-label Multiple Kernel Learning
We present a multi-label multiple kernel learning (MKL) formulation in which the data are embedded into a low-dimensional space directed by the instancelabel correlations encoded ...
Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye